Introduction
The recent 20% decrease in average read time for Substack newsletters over the past month is a concerning trend that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the platform and its users.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends could explain temporary changes in user behavior. Expected answer: No significant seasonal events during this period. Impact on approach: If seasonal, we'd focus on cyclical patterns rather than systemic issues.
Why it matters: Identifying specific affected segments could pinpoint the issue more accurately. Expected answer: The decrease is more pronounced among casual readers. Impact on approach: We'd focus on understanding and addressing the needs of casual readers.
Why it matters: Recent changes could directly impact user engagement. Expected answer: A minor UI update was implemented three weeks ago. Impact on approach: We'd investigate the potential impact of this UI change on read time.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes to the measurement system. Impact on approach: Confirms the issue is with user behavior, not data collection.
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